In this study 48.2%% of HCWs reported that they regularly follow standard procedures and regression model indicated that regularly following standard precautions has no significant relation with percutaneous injury.
The relationships of DTI measures with decision-making performance were analyzed with mixed-model ANOVA SASS 9.2 Mixed Procedure) and linear regression analysis (SAS 9.2 Regression Procedure).
During this procedure, Classification And REgression Training (CARET) [ 49] package was set up to fine-tune both regularized parameters: α, the elastic net mixing parameter, and λ, the tuning parameter.
We performed logistic regression on binary outcomes using the SAS SURVEYLOGISTIC procedure, and linear regression on the continuous outcome using the SURVEYREG procedure.
Logistic regression analyses were conducted using the proc LOGISTIC procedure and linear regression analyses were conducted using the proc MIXED procedure in SAS version 9.2 [ 50].
Predictive variables were selected through the LASSO model selection procedure, and logistic regression was used to estimate the probability of occurrence of each species in each hexagon.
In order to reduce a complex kinetic model (33 reactions), which describes the methanol conversion to olefins, to a model easier to use, the discretization procedure combined with the integral procedure and ridge regression analysis were used.
The impact of anterior corneal aberrations and the differences between this procedure and some regression formulas are analyzed by means of the IOL power prediction performed for 19 normal healthy subjects.
The average difference for all the subjects between the IOL power calculated with our procedure and different regression based formulas is shown in Fig. 4a, together with the average absolute difference (Fig. 4b), in order to consider sign compensations.
When features were significantly associated with both BRCA mutation status and the presence of LVI, statistical analysis of these possible confounders took place by calculating ORs stratified for specific subgroups (corrected by Mantel-Haenszel procedure) and logistic regression for significant features.
